the AI fugue has handicapped our workforce

I think it's true

Hegseth is on it

we are slowly punishing reading comprehension

this will have educational consequences (that I'm trying to solve). I don't think that we can adjust without rapid education and making extreme specialists of us all.

This requires coordination, certification, licensing, and other tiers of authenticity. False experts can ruin sample gathering, can ruin training. False expertise is exemplified by the current American Administration. Look at Robert F. Kennedy Jr.; he's a false expert. He is responsible for the measles outbreak. He is responsible for ivermectin abuse by humans. False expertise is overtaking real expertise. And the results are continuously disastrous and large-scale.

brother read those numbers out loud

If I make $200k I do not have $400k off-balance gambling debt

This "debt" is almost solely rental style deals with datacenter constructors. If you make 200k and have a 400k mortgage youre doing just fine.

Datacenters that have not and might not be built to accommodate for future AI demand that may or may not grow to the extent or as fast as the companies anticipate.

Whether the datacenters will end up profitable is a different question than whether they are a real risk for the business. This whole thing could be a massive mistake and all the big tech companies will come out the other end just fine. I think the executives at these companies realize that, this whole build out is a massive case of FOMO. No one wants to be microsoft missing the boat on mobile and theyre willing to flush money away to ensure that never happens.

Windows Mobile predated the iPhone by like 4 years or something. MS didn't miss the boat they steered a crappy boat.

They missed the port.

A 400k mortgage needs a new roof after 25 years. A data center needs its hardware completely replenished after 5 (or less).

Data centers are depreciating assets. I'd class it more like a fancy car than a house.

Your house (hopefully) goes up in value. The datacenter goes down.

Land tends to appreciate, but not so much the rotting box atop it

I bring this up not as a "well, ackshually" but because the datacenter analogy is more similar in that respect...except worse, because now it's a rotting box full of very expensive hardware that hasn't historically held a lot of value until this current shortage

And the hyperscalers have made the (questionable) choice of depreciating that hardware over 6 years rather than the usual 4.

do you think that China is some place devoid of business? it's the center of global commerce now. you're gravely mistaken if you think that Chinese models have "Chinese political ideology" baked into them

Grok literally had post work done to make it more right wing and racist.

sheer lunacy

Is your claim that Chinese commerce isn't subject to political censorship?

Where does Grok come into this? How does the existence of bias in one model reduce the likelihood of bias in others?

If you self-host these models, there's no censorship. They only have to follow those laws when hosted in China.

You can't self-host or bypass the censorship in Grok

> the societal implications of being unable to prove land ownership

accidental communism

I run my AI headless in a docker container and give it access to git – it can only contribute code - when it needs a secret I put it in a docker container in vault. when it needs infra, it makes me a jira ticket. that's my workflow.

This is more challenging for macOS.

I've been doing it just fine on macOS for awhile now. What's challenging about it?

I think particularly for iOS development. I was all in on sandboxed approaches...until I went to build an app, and now unfortunately convenience won